class_docstr: Args:
      input_shape (int): network input image size
      scale_factor (float): scale factor of ori image
code: def __call__(self, outs, scale_factor):
      out_boxes_list, box_num_list = self._non_max_suppression(
          outs, scale_factor
      )
      return {"bbox": out_boxes_list, "bbox_num": box_num_list}
  
file_path: PaddleDetection/deploy/auto_compression/post_process.py
imports: import numpy
  import cv2
label_desc: Use image node_id 3 for calling the PPYOLOEPostProcess obj's underlying member method code with example usage: obj.__call__(outs, scale_factor) and returns: dict